Namyoung Jung
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Browsing Genes and Genomes with Ensembl
The Bioinformatics Roadshow Copenhagen, Denmark 16 & 17 June 2011 BROWSING GENES AND GENOMES WITH ENSEMBL EXERCISES AND ANSWERS Note: These exercises are based on Ensembl version 62 (13 April 2011). After in future a new version has gone live, version 62 will still be available at http://e62.ensembl.org. If your answer doesn’t correspond with the given answer, please consult the instructor. ______________________________________________________________ BROWSER ______________________________________________________________ Exercise 1 – Exploring a gene (a) Find the human F9 (Coagulation factor IX) gene. On which chromosome and which strand of the genome is this gene located? How many transcripts (splice variants) have been annotated for it? (b) What is the longest transcript? How long is the protein it encodes? How many exons does it have? Are any of the exons completely or partially untranslated? (c) Have a look at the external references for ENST00000218099. What is the function of F9? (d) Is it possible to monitor expression of ENST00000218099 with the CodeLink microarray? If so, can it also be used to monitor expression of the other two transcripts? (e) In which part (i.e. the N-terminal or C-terminal half) of the protein encoded by ENST00000218099 does its peptidase activity, responsible for the cleavage of factor X to yield its active form factor Xa, reside? (f) How many non-synonymous variants have been discovered for the protein encoded by ENST00000218099? (g) Is there a mouse ortholog predicted for the human F9 gene? (h) On which cytogenetic band and on which contig is the F9 gene located? Is there a BAC clone that contains the complete F9 gene? (i) If you have yourself a gene of interest, explore what information Ensembl displays about it! ______________________________________________________________ Answer (a) Go to the Ensembl homepage (http://www.ensembl.org). -
HPSE2 Gene Heparanase 2 (Inactive)
HPSE2 gene heparanase 2 (inactive) Normal Function The HPSE2 gene provides instructions for making a protein called heparanase 2. Little is known about this protein, but its structure is similar to that of another protein called heparanase 1. Heparanase 1 is an enzyme that splits (cleaves) molecules called heparan sulfate proteoglycans (HSPGs) by removing the heparan sulfate portion (the side chain). HSPGs are important parts of the lattice of proteins and other molecules outside the cell (extracellular matrix) and of basement membranes, which are thin, sheet-like structures that separate and support cells in many tissues. Cleavage of HSPGs by heparanase 1 may lead to changes in the basement membrane or extracellular matrix that allow cell movement or release of substances from the cell. The specific function of the heparanase 2 enzyme is not well understood, but studies suggest that it may block the action of heparanase 1. Health Conditions Related to Genetic Changes Migraine MedlinePlus Genetics provides information about Migraine Ochoa syndrome At least nine HPSE2 gene mutations have been identified in people with Ochoa syndrome (also called urofacial syndrome), a disorder that causes urinary problems and unusual facial expressions. These mutations result in changes in the heparanase 2 protein that likely prevent it from functioning. The connection between HPSE2 gene mutations and the features of Ochoa syndrome are unclear. Because the areas of the brain that control facial expression and urination are in close proximity, some researchers have suggested that the genetic changes may lead to an abnormality in this brain region that may account for the symptoms of Ochoa syndrome. -
Small Cell Ovarian Carcinoma: Genomic Stability and Responsiveness to Therapeutics
Gamwell et al. Orphanet Journal of Rare Diseases 2013, 8:33 http://www.ojrd.com/content/8/1/33 RESEARCH Open Access Small cell ovarian carcinoma: genomic stability and responsiveness to therapeutics Lisa F Gamwell1,2, Karen Gambaro3, Maria Merziotis2, Colleen Crane2, Suzanna L Arcand4, Valerie Bourada1,2, Christopher Davis2, Jeremy A Squire6, David G Huntsman7,8, Patricia N Tonin3,4,5 and Barbara C Vanderhyden1,2* Abstract Background: The biology of small cell ovarian carcinoma of the hypercalcemic type (SCCOHT), which is a rare and aggressive form of ovarian cancer, is poorly understood. Tumourigenicity, in vitro growth characteristics, genetic and genomic anomalies, and sensitivity to standard and novel chemotherapeutic treatments were investigated in the unique SCCOHT cell line, BIN-67, to provide further insight in the biology of this rare type of ovarian cancer. Method: The tumourigenic potential of BIN-67 cells was determined and the tumours formed in a xenograft model was compared to human SCCOHT. DNA sequencing, spectral karyotyping and high density SNP array analysis was performed. The sensitivity of the BIN-67 cells to standard chemotherapeutic agents and to vesicular stomatitis virus (VSV) and the JX-594 vaccinia virus was tested. Results: BIN-67 cells were capable of forming spheroids in hanging drop cultures. When xenografted into immunodeficient mice, BIN-67 cells developed into tumours that reflected the hypercalcemia and histology of human SCCOHT, notably intense expression of WT-1 and vimentin, and lack of expression of inhibin. Somatic mutations in TP53 and the most common activating mutations in KRAS and BRAF were not found in BIN-67 cells by DNA sequencing. -
Urinary Tract Effects of HPSE2 Mutations
BRIEF COMMUNICATION www.jasn.org Urinary Tract Effects of HPSE2 Mutations † Helen M. Stuart,* Neil A. Roberts,* Emma N. Hilton,* Edward A. McKenzie, Sarah B. Daly,* † ‡ Kristen D. Hadfield,* Jeffery S. Rahal,* Natalie J. Gardiner, Simon W. Tanley, | Malcolm A. Lewis,* Emily Sites,§ Brad Angle,§ Cláudia Alves, Teresa Lourenço,¶ Márcia Rodrigues,¶ Angelina Calado,** Marta Amado,** Nancy Guerreiro,** Inês Serras,** †† †† || Christian Beetz , Rita-Eva Varga , Mesrur Selcuk Silay,§§ John M. Darlow, ¶¶ || || ††† Mark G. Dobson , ¶¶ David E. Barton , *** Manuela Hunziker,¶¶ Prem Puri,¶¶*** ‡‡‡ Sally A. Feather, Judith A. Goodship ,§§§ Timothy H.J. Goodship ,§§§ Heather J. ||| BRIEF COMMUNICATION Lambert ,§§§ Heather J. Cordell ,§§§ the UK VUR Study Group, Anand Saggar, †††† Maria Kinali ,¶¶¶, the 4C Study Group, Christian Lorenz ,**** Kristina Moeller, |||| Franz Schaefer,§§§§ Aysun K. Bayazit , Stefanie Weber,¶¶¶¶ William G. Newman ,* and Adrian S. Woolf * Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Urofacial syndrome (UFS) is an autosomal recessive congenital disease featuring grimacing grimacing and dysmorphic bladders. and incomplete bladder emptying. Mutations of HPSE2, encoding heparanase 2, a Considering these and previously pub- heparanase 1 inhibitor, occur in UFS, but knowledge about the HPSE2 mutation spec- lished mutations4–7 (Figure 1A), it is clear trum is limited. Here, seven UFS kindreds with HPSE2 mutations are presented, that pathogenic HPSE2 mutations are including one with deleted asparagine 254, suggesting a role for this amino acid, found across the gene’s coding region. which is conserved in vertebrate orthologs. HPSE2 mutations were absent in 23 non- Most (i.e., nonsense or frameshift muta- neurogenic neurogenic bladder probands and, of 439 families with nonsyndromic tions) would cause loss of function, but a vesicoureteric reflux, only one carried a putative pathogenic HPSE2 variant. -
Chromosomal Aberrations in Head and Neck Squamous Cell Carcinomas in Norwegian and Sudanese Populations by Array Comparative Genomic Hybridization
825-843 12/9/08 15:31 Page 825 ONCOLOGY REPORTS 20: 825-843, 2008 825 Chromosomal aberrations in head and neck squamous cell carcinomas in Norwegian and Sudanese populations by array comparative genomic hybridization ERIC ROMAN1,2, LEONARDO A. MEZA-ZEPEDA3, STINE H. KRESSE3, OLA MYKLEBOST3,4, ENDRE N. VASSTRAND2 and SALAH O. IBRAHIM1,2 1Department of Biomedicine, Faculty of Medicine and Dentistry, University of Bergen, Jonas Lies vei 91; 2Department of Oral Sciences - Periodontology, Faculty of Medicine and Dentistry, University of Bergen, Årstadveien 17, 5009 Bergen; 3Department of Tumor Biology, Institute for Cancer Research, Rikshospitalet-Radiumhospitalet Medical Center, Montebello, 0310 Oslo; 4Department of Molecular Biosciences, University of Oslo, Blindernveien 31, 0371 Oslo, Norway Received January 30, 2008; Accepted April 29, 2008 DOI: 10.3892/or_00000080 Abstract. We used microarray-based comparative genomic logical parameters showed little correlation, suggesting an hybridization to explore genome-wide profiles of chromosomal occurrence of gains/losses regardless of ethnic differences and aberrations in 26 samples of head and neck cancers compared clinicopathological status between the patients from the two to their pair-wise normal controls. The samples were obtained countries. Our findings indicate the existence of common from Sudanese (n=11) and Norwegian (n=15) patients. The gene-specific amplifications/deletions in these tumors, findings were correlated with clinicopathological variables. regardless of the source of the samples or attributed We identified the amplification of 41 common chromosomal carcinogenic risk factors. regions (harboring 149 candidate genes) and the deletion of 22 (28 candidate genes). Predominant chromosomal alterations Introduction that were observed included high-level amplification at 1q21 (harboring the S100A gene family) and 11q22 (including Head and neck squamous cell carcinoma (HNSCC), including several MMP family members). -
High-Throughput, Pooled Sequencing Identifies Mutations in NUBPL And
ARTICLES High-throughput, pooled sequencing identifies mutations in NUBPL and FOXRED1 in human complex I deficiency Sarah E Calvo1–3,10, Elena J Tucker4,5,10, Alison G Compton4,10, Denise M Kirby4, Gabriel Crawford3, Noel P Burtt3, Manuel Rivas1,3, Candace Guiducci3, Damien L Bruno4, Olga A Goldberger1,2, Michelle C Redman3, Esko Wiltshire6,7, Callum J Wilson8, David Altshuler1,3,9, Stacey B Gabriel3, Mark J Daly1,3, David R Thorburn4,5 & Vamsi K Mootha1–3 Discovering the molecular basis of mitochondrial respiratory chain disease is challenging given the large number of both mitochondrial and nuclear genes that are involved. We report a strategy of focused candidate gene prediction, high-throughput sequencing and experimental validation to uncover the molecular basis of mitochondrial complex I disorders. We created seven pools of DNA from a cohort of 103 cases and 42 healthy controls and then performed deep sequencing of 103 candidate genes to identify 151 rare variants that were predicted to affect protein function. We established genetic diagnoses in 13 of 60 previously unsolved cases using confirmatory experiments, including cDNA complementation to show that mutations in NUBPL and FOXRED1 can cause complex I deficiency. Our study illustrates how large-scale sequencing, coupled with functional prediction and experimental validation, can be used to identify causal mutations in individual cases. Complex I of the mitochondrial respiratory chain is a large ~1-MDa assembly factors are probably required, as suggested by the 20 factors macromolecular machine composed of 45 protein subunits encoded necessary for assembly of the smaller complex IV9 and by cohort by both the nuclear and mitochondrial (mtDNA) genomes. -
Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins
International Journal of Molecular Sciences Article Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins M. Quadir Siddiqui 1,† , Maulik D. Badmalia 1,† and Trushar R. Patel 1,2,3,* 1 Alberta RNA Research and Training Institute, Department of Chemistry and Biochemistry, University of Lethbridge, 4401 University Drive, Lethbridge, AB T1K 3M4, Canada; [email protected] (M.Q.S.); [email protected] (M.D.B.) 2 Department of Microbiology, Immunology and Infectious Disease, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive, Calgary, AB T2N 4N1, Canada 3 Li Ka Shing Institute of Virology, University of Alberta, Edmonton, AB T6G 2E1, Canada * Correspondence: [email protected] † These authors contributed equally to the work. Abstract: Members of the human Zyxin family are LIM domain-containing proteins that perform critical cellular functions and are indispensable for cellular integrity. Despite their importance, not much is known about their structure, functions, interactions and dynamics. To provide insights into these, we used a set of in-silico tools and databases and analyzed their amino acid sequence, phylogeny, post-translational modifications, structure-dynamics, molecular interactions, and func- tions. Our analysis revealed that zyxin members are ohnologs. Presence of a conserved nuclear export signal composed of LxxLxL/LxxxLxL consensus sequence, as well as a possible nuclear localization signal, suggesting that Zyxin family members may have nuclear and cytoplasmic roles. The molecular modeling and structural analysis indicated that Zyxin family LIM domains share Citation: Siddiqui, M.Q.; Badmalia, similarities with transcriptional regulators and have positively charged electrostatic patches, which M.D.; Patel, T.R. -
Differential Expression Profile Prioritization of Positional Candidate Glaucoma Genes the GLC1C Locus
LABORATORY SCIENCES Differential Expression Profile Prioritization of Positional Candidate Glaucoma Genes The GLC1C Locus Frank W. Rozsa, PhD; Kathleen M. Scott, BS; Hemant Pawar, PhD; John R. Samples, MD; Mary K. Wirtz, PhD; Julia E. Richards, PhD Objectives: To develop and apply a model for priori- est because of moderate expression and changes in tization of candidate glaucoma genes. expression. Transcription factor ZBTB38 emerges as an interesting candidate gene because of the overall expres- Methods: This Affymetrix GeneChip (Affymetrix, Santa sion level, differential expression, and function. Clara, Calif) study of gene expression in primary cul- ture human trabecular meshwork cells uses a positional Conclusions: Only1geneintheGLC1C interval fits our differential expression profile model for prioritization of model for differential expression under multiple glau- candidate genes within the GLC1C genetic inclusion in- coma risk conditions. The use of multiple prioritization terval. models resulted in filtering 7 candidate genes of higher interest out of the 41 known genes in the region. Results: Sixteen genes were expressed under all condi- tions within the GLC1C interval. TMEM22 was the only Clinical Relevance: This study identified a small sub- gene within the interval with differential expression in set of genes that are most likely to harbor mutations that the same direction under both conditions tested. Two cause glaucoma linked to GLC1C. genes, ATP1B3 and COPB2, are of interest in the con- text of a protein-misfolding model for candidate selec- tion. SLC25A36, PCCB, and FNDC6 are of lesser inter- Arch Ophthalmol. 2007;125:117-127 IGH PREVALENCE AND PO- identification of additional GLC1C fami- tential for severe out- lies7,18-20 who provide optimal samples for come combine to make screening candidate genes for muta- adult-onset primary tions.7,18,20 The existence of 2 distinct open-angle glaucoma GLC1C haplotypes suggests that muta- (POAG) a significant public health prob- tions will not be limited to rare descen- H1 lem. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected]
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School July 2017 Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected] Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the Pathology Commons Scholar Commons Citation Mohamed, Mai, "Role of Amylase in Ovarian Cancer" (2017). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/6907 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Role of Amylase in Ovarian Cancer by Mai Mohamed A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Pathology and Cell Biology Morsani College of Medicine University of South Florida Major Professor: Patricia Kruk, Ph.D. Paula C. Bickford, Ph.D. Meera Nanjundan, Ph.D. Marzenna Wiranowska, Ph.D. Lauri Wright, Ph.D. Date of Approval: June 29, 2017 Keywords: ovarian cancer, amylase, computational analyses, glycocalyx, cellular invasion Copyright © 2017, Mai Mohamed Dedication This dissertation is dedicated to my parents, Ahmed and Fatma, who have always stressed the importance of education, and, throughout my education, have been my strongest source of encouragement and support. They always believed in me and I am eternally grateful to them. I would also like to thank my brothers, Mohamed and Hussien, and my sister, Mariam. I would also like to thank my husband, Ahmed. -
A Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic Buffering of Doxorubicin Sean M
Santos and Hartman Cancer & Metabolism (2019) 7:9 https://doi.org/10.1186/s40170-019-0201-3 RESEARCH Open Access A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin Sean M. Santos and John L. Hartman IV* Abstract Background: The influence of the Warburg phenomenon on chemotherapy response is unknown. Saccharomyces cerevisiae mimics the Warburg effect, repressing respiration in the presence of adequate glucose. Yeast phenomic experiments were conducted to assess potential influences of Warburg metabolism on gene-drug interaction underlying the cellular response to doxorubicin. Homologous genes from yeast phenomic and cancer pharmacogenomics data were analyzed to infer evolutionary conservation of gene-drug interaction and predict therapeutic relevance. Methods: Cell proliferation phenotypes (CPPs) of the yeast gene knockout/knockdown library were measured by quantitative high-throughput cell array phenotyping (Q-HTCP), treating with escalating doxorubicin concentrations under conditions of respiratory or glycolytic metabolism. Doxorubicin-gene interaction was quantified by departure of CPPs observed for the doxorubicin-treated mutant strain from that expected based on an interaction model. Recursive expectation-maximization clustering (REMc) and Gene Ontology (GO)-based analyses of interactions identified functional biological modules that differentially buffer or promote doxorubicin cytotoxicity with respect to Warburg metabolism. Yeast phenomic and cancer pharmacogenomics data were integrated to predict differential gene expression causally influencing doxorubicin anti-tumor efficacy. Results: Yeast compromised for genes functioning in chromatin organization, and several other cellular processes are more resistant to doxorubicin under glycolytic conditions. Thus, the Warburg transition appears to alleviate requirements for cellular functions that buffer doxorubicin cytotoxicity in a respiratory context. -
A Chemosensitization Screen Identifies TP53RK, a Kinase That Restrains Apoptosis After Mitotic Stress
Published OnlineFirst July 20, 2010; DOI: 10.1158/0008-5472.CAN-10-0015 Published OnlineFirst on July 20, 2010 as 10.1158/0008-5472.CAN-10-0015 Tumor and Stem Cell Biology Cancer Research A Chemosensitization Screen Identifies TP53RK, a Kinase that Restrains Apoptosis after Mitotic Stress David Peterson1, James Lee2, Xingye C. Lei3, William F. Forrest3, David P. Davis2, Peter K. Jackson1, and Lisa D. Belmont1 Abstract Taxanes are very effective at causing mitotic arrest; however, there is variability among cancer cells in the apoptotic response to mitotic arrest. The variability in clinical efficacy of taxane-based therapy is likely a re- flection of this variability in apoptotic response, thus elucidation of the molecular mechanism of the apoptotic response to mitotic stress could lead to improved clinical strategies. To identify genes whose expression in- fluences the rate and extent of apoptosis after mitotic arrest, we screened a kinase-enriched small interfering RNA library for effects on caspase activation in response to maximally effective doses of paclitaxel, a PLK1 inhibitor, or cisplatin. Small interfering RNA oligonucleotides directed against an atypical protein kinase, TP53RK, caused the greatest increase in caspase-3/7 activation in response to antimitotic agents. Time-lapse microscopy revealed that cells entered mitosis with normal kinetics, but died after entry into mitosis in the presence of paclitaxel more rapidly when TP53RK was depleted. Because expression levels of TP53RK vary in cancers, TP53RK levels could provide a molecular marker to predict response to antimitotic agents. TP53RK inhibition may also sensitize cancers to taxanes. Cancer Res; 70(15); 6325–35.